Learn R Programming

⚠️There's a newer version (1.3-6) of this package.Take me there.

degreenet (version 1.2)

Models for Skewed Count Distributions Relevant to Networks

Description

Likelihood-based inference for skewed count distributions used in network modeling. "degreenet" is a part of the "statnet" suite of packages for network analysis.

Copy Link

Version

Install

install.packages('degreenet')

Monthly Downloads

336

Version

1.2

License

GPL-3 + file LICENSE

Maintainer

Mark S Handcock

Last Published

February 3rd, 2013

Functions in degreenet (1.2)

Generate a (non-random) network with a given degree sequence

Calculate Bootstrap Estimates and Confidence Intervals for the Poisson Lognormal Distribution

Simulate from a Conway Maxwell Poisson Distribution

Calculate Bootstrap Estimates and Confidence Intervals for the Discrete Pareto Distribution

Simulate from a Poisson Lognormal Distribution

Models for Count Distributions

Waring Modeling of Discrete Data

Yule Distribution Modeling of Discrete Data

Poisson Lognormal Modeling of Discrete Data

Calculate Bootstrap Estimates and Confidence Intervals for the Negative Binomial Distribution

Calculate Bootstrap Estimates and Confidence Intervals for the Yule Distribution

Calculate the Conditional log-likelihood for Count Distributions

Simulate from a Waring Distribution

Number of sex partners in the last 12 months for men and women in Sweden

Conway Maxwell Poisson Modeling of Discrete Data

degreenet-package

Models for Skewed Count Distributions Relevant to Networks

Simulate from a Negative Binomial Distribution

Calculate the log-likelihood for Count Distributions

Calculate the log-likelihood for Count Distributions

Simulate from a Yule Distribution

Discrete version of q-Exponential Modeling of Discrete Data

Calculate Bootstrap Estimates and Confidence Intervals for the Waring Distribution

Simulate from a Discrete Pareto Distribution

Generate a (non-random) network from a Yule Distribution

Rounded Poisson Lognormal Modeling of Discrete Data

Calculate the Conditional log-likelihood for Count Distributions

degreenet-internal

Internal degreenet Objects

Calculate the Conditional log-likelihood for the Poisson Lognormal Distributions